← BioTransfer GEO Dataset Finder
GEO series

ID3 Enhances PD-L1 Expression by Restructuring MYC and Promotes Colorectal Cancer Immune Evasion [RNA-seq]

GSE275454 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2024/09/30 Platform GPL24676
Summary
The inhibitor of DNA-binding protein ID3 is a vital component of immune cells and has been associated with the progression of colorectal cancer (CRC). Despite its significance, its specific role in the immune evasion strategies utilized by CRC remains unclear. RNA-seq analysis revealed that ID3 is associated with the PD-L1 immune checkpoint. We further demonstrated that ID3 modulates PD-L1 expression, suppresses the infiltration and activation of CD8+ T cells, and facilitates the immune escape of CRC cells. Additionally, we found that the knockdown of ID3 significantly enhanced the effectiveness of PD-L1 antibody treatment in combating CRC, reduced the upregulation of PD-L1 induced by the antibody, and altered the immune microenvironment within CRC. Mechanistically, our biological and structural analyses demonstrated that ID3 reconstructed the four-dimensional structure of MYC, thereby enhancing its binding affinity to the PD-L1 promoter and augmenting PD-L1 transcriptional activity. By integrating analysis of ChIP-seq, RNA-seq, and ImmPort gene sets, we found that ID3's DNA-assisted binding function was widespread and could either enhance or suppress gene transcription, not only affecting tumor immune escape through immune checkpoints, but also regulating various cytokines and immune cells involved in tumor immunity. In conclusion, our study uncovered a new mechanism by which ID3 promotes immune evasion in CRC and targeting ID3 may improve the efficacy of anti-PD-1/PD-L1 immunotherapy.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE275454_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1150959 and SRA study SRP528055. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.